BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//SQLBits/com
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-MS-OLK-FORCEINSPECTOROPEN:TRUE
BEGIN:VEVENT
DTSTART:20120331T133000Z
DTEND:20120331T143000Z
LOCATION:SQLBits Conference - Bourg
SUMMARY:SQL Server Indexes : The forgotten Fill-Factor
DESCRIPTION:While we all know the fill factor index option when creating or rebuilding an index, few know about the huge impact a fill factor has on the performance of your machine. Most DBA's treat the fill-factor as a static server setting and "forget about it".&nbsp;<br />
<br />
&ldquo;What number should I set the fill-factor to?&rdquo;&nbsp;is a very challenging question that most DBA&rsquo;s should bother about. High fill-factors have high data densities, while low fill-factors can cope better with nonsequential&nbsp;IO.&nbsp;The challenge is to find a statistical model that will minimize fragmentation, optimize insert performance while reducing disk usage&nbsp;overhead and all this without stressing the maintenance window.<br />
<br />
By using a different approach for specific use cases this session will give you the tools to find the most optimal fill-factor for your tables.
X-ALT-DESC;FMTTYPE=text/html:<html><body><p><b>SQL Server Indexes : The forgotten Fill-Factor</b></p><p>While we all know the fill factor index option when creating or rebuilding an index, few know about the huge impact a fill factor has on the performance of your machine. Most DBA's treat the fill-factor as a static server setting and "forget about it".&nbsp;<br /> <br /> &ldquo;What number should I set the fill-factor to?&rdquo;&nbsp;is a very challenging question that most DBA&rsquo;s should bother about. High fill-factors have high data densities, while low fill-factors can cope better with nonsequential&nbsp;IO.&nbsp;The challenge is to find a statistical model that will minimize fragmentation, optimize insert performance while reducing disk usage&nbsp;overhead and all this without stressing the maintenance window.<br /> <br /> By using a different approach for specific use cases this session will give you the tools to find the most optimal fill-factor for your tables.</p><p><b>Karel Coenye</b></p><p><p>Karel Coenye a senior SQL Server trainer and Consultant at Kohera, has been working with SQL Server in different roles since 1999. Currently working on different database projects as SQL architect while coaching and training other DBAs and developers.&nbsp;Experienced in both full development-environments as in production environments with large server with multiple large databases specialized in tuning, tweaking and monitoring.</p> <p>His IT passion drives him towards the physical and virtual bottlenecks while seeking ways to push systems towards their limits.</p></p><a href="" ></a></body></html>
UID:SQLBITS1382SEQUENCE:0
DTSTAMP:20130619T215752Z
END:VEVENT
END:VCALENDAR
